Adaptive fuzzy sliding mode controller for autonomous uderwater vehicles

This thesis presents an adaptive fuzzy sliding mode controller (AFSMC) for autonomous underwater vehicles (AUVs). Control of an AUV is a challenging problem due to the highly non-linear dynamics uncertain parameters and unpredictable external disturbances. Therefore, conventional control methods...

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Bibliographic Details
Main Author: Ge, Haoran.
Other Authors: Balasuriya, Arjuna Prabhath
Format: Thesis
Published: 2008
Subjects:
Online Access:http://hdl.handle.net/10356/4284
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author Ge, Haoran.
author2 Balasuriya, Arjuna Prabhath
author_facet Balasuriya, Arjuna Prabhath
Ge, Haoran.
author_sort Ge, Haoran.
collection NTU
description This thesis presents an adaptive fuzzy sliding mode controller (AFSMC) for autonomous underwater vehicles (AUVs). Control of an AUV is a challenging problem due to the highly non-linear dynamics uncertain parameters and unpredictable external disturbances. Therefore, conventional control methods have not been very successful. The proposed adaptive fuzzy controller can approximate the unknown system dynamics and is robust against the model uncertainties and external disturbances. The adaptive hzzy sliding mode controller can be free from the system model and can achieve simple and fast control for complex nonlinear systems.
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institution Nanyang Technological University
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spelling ntu-10356/42842023-07-04T15:14:25Z Adaptive fuzzy sliding mode controller for autonomous uderwater vehicles Ge, Haoran. Balasuriya, Arjuna Prabhath School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering This thesis presents an adaptive fuzzy sliding mode controller (AFSMC) for autonomous underwater vehicles (AUVs). Control of an AUV is a challenging problem due to the highly non-linear dynamics uncertain parameters and unpredictable external disturbances. Therefore, conventional control methods have not been very successful. The proposed adaptive fuzzy controller can approximate the unknown system dynamics and is robust against the model uncertainties and external disturbances. The adaptive hzzy sliding mode controller can be free from the system model and can achieve simple and fast control for complex nonlinear systems. Master of Science 2008-09-17T09:48:18Z 2008-09-17T09:48:18Z 2005 2005 Thesis http://hdl.handle.net/10356/4284 Nanyang Technological University application/pdf
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering
Ge, Haoran.
Adaptive fuzzy sliding mode controller for autonomous uderwater vehicles
title Adaptive fuzzy sliding mode controller for autonomous uderwater vehicles
title_full Adaptive fuzzy sliding mode controller for autonomous uderwater vehicles
title_fullStr Adaptive fuzzy sliding mode controller for autonomous uderwater vehicles
title_full_unstemmed Adaptive fuzzy sliding mode controller for autonomous uderwater vehicles
title_short Adaptive fuzzy sliding mode controller for autonomous uderwater vehicles
title_sort adaptive fuzzy sliding mode controller for autonomous uderwater vehicles
topic DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering
url http://hdl.handle.net/10356/4284
work_keys_str_mv AT gehaoran adaptivefuzzyslidingmodecontrollerforautonomousuderwatervehicles